Deep Learning Techniques for IoT Security and Privacy
暫譯: 物聯網安全與隱私的深度學習技術
Abdel-Basset, Mohamed, Moustafa, Nour, Hawash, Hossam
- 出版商: Springer
- 出版日期: 2021-12-06
- 售價: $7,250
- 貴賓價: 9.5 折 $6,888
- 語言: 英文
- 頁數: 280
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3030890244
- ISBN-13: 9783030890247
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相關分類:
DeepLearning、物聯網 IoT、資訊安全
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相關主題
商品描述
Chapter 1, Conceptualization of Security, Forensics, and Privacy of Internet of ThingsChapter 2, Internet of Things, Preliminaries and Foundations, Chapter 3, Internet of Things Security Requirements, Threats, Countermeasures, Chapter 4, Digital Forensics in Internet of ThingsChapter 5, Supervised Deep Learning for Secure Internet of ThingsChapter 6, Unsupervised Deep Learning for Secure Internet of ThingsChapter 7, Semi-supervised Deep Learning for Secure Internet of ThingsChapter 8, Reinforcement Learning for Secure Internet of ThingsChapter 9, Federated Learning for Privacy-Preserving Internet of ThingsChapter 10, Challenges, Opportunities, and Future Prospects
商品描述(中文翻譯)
第一章,物聯網的安全性、取證與隱私概念化
第二章,物聯網的初步與基礎
第三章,物聯網的安全需求、威脅與對策
第四章,物聯網中的數位取證
第五章,安全物聯網的監督式深度學習
第六章,安全物聯網的非監督式深度學習
第七章,安全物聯網的半監督式深度學習
第八章,安全物聯網的強化學習
第九章,隱私保護的物聯網聯邦學習
第十章,挑戰、機會與未來展望